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Table of Contents
Intro
Message from the FutureTech 2020 General Chairs
Message from the FutureTech 2020 Program Chairs
FutureTech 2020 Organization
Message from the MUE 2020 General Chairs
Message from the MUE 2020 Program Chairs
MUE 2020 Organization
Contents
Research on Optimization of Knapsack Problem in Logistics Distribution
1 Introduction
1.1 Traditional Knapsack Problem Description
1.2 Particle Swarm Optimization Algorithm
2 Knapsack Problem Solution in Logistics Distribution
2.1 Simulated Annealing and Binary Particle Swarm Optimization (BPSOSA)
2.2 Particle Fitness Update
2.3 Weight, Learning Factor Update
2.4 Individual Optimal Solution and the Global Optimal Solution Update
2.5 Path Adjustment
3 Logistics Simulation System
3.1 Simulation Results and Analysis
4 Conclusion
References
Construct of Data Compression System for Urgent Data Transmission in Smart Dust Environment
1 Introduction
2 Previous Work
3 Hierarchical Transmit Method
3.1 The Normal Data Threshold Filtering Phase (The First Phase)
3.2 The Normal Data Integration Phase (The Second Phase)
4 Experiment
5 Conclusion
References
Entity Summarization in Fuzzy Knowledge Graph Based on Fuzzy Concept Analysis
1 Introduction
2 Related Work
3 Proposed Approach
3.1 Fuzzy Knowledge Graph
3.2 Problem Description
3.3 Proposed Approach
4 Conclusion
References
Interlacing Data to Classify Software in Linear Regression Approach
1 Introduction
2 Linear Regression in Machine Learning
2.1 Linear Regression in Software Classification
2.2 The Basic Approach of Interlacing Data
3 Interlacing Data in Linear Regression
4 Experimental Evaluation
5 Conclusion
References
Blockchain and Trusted Execution Environment Based Fairness Incentive Mechanism in Crowdsensing
1 Introduction
2 Related Work
3 Architecture and Operations of Our Proposed System
4 Experiment
5 Analysis and Conclusion
References
Identifying Critical Topics for Successful Games in Game Reviews by Applying Latent Dirichlet Allocation
1 Introduction
2 Background
3 Topic Modeling Analysis
3.1 Theoretical Framework
3.2 Methodology
4 Discussions
4.1 Stimulation-Response-Desire-Goal (SRDG) Model
4.2 Application and Development of the Model
5 Conclusion
Message from the FutureTech 2020 General Chairs
Message from the FutureTech 2020 Program Chairs
FutureTech 2020 Organization
Message from the MUE 2020 General Chairs
Message from the MUE 2020 Program Chairs
MUE 2020 Organization
Contents
Research on Optimization of Knapsack Problem in Logistics Distribution
1 Introduction
1.1 Traditional Knapsack Problem Description
1.2 Particle Swarm Optimization Algorithm
2 Knapsack Problem Solution in Logistics Distribution
2.1 Simulated Annealing and Binary Particle Swarm Optimization (BPSOSA)
2.2 Particle Fitness Update
2.3 Weight, Learning Factor Update
2.4 Individual Optimal Solution and the Global Optimal Solution Update
2.5 Path Adjustment
3 Logistics Simulation System
3.1 Simulation Results and Analysis
4 Conclusion
References
Construct of Data Compression System for Urgent Data Transmission in Smart Dust Environment
1 Introduction
2 Previous Work
3 Hierarchical Transmit Method
3.1 The Normal Data Threshold Filtering Phase (The First Phase)
3.2 The Normal Data Integration Phase (The Second Phase)
4 Experiment
5 Conclusion
References
Entity Summarization in Fuzzy Knowledge Graph Based on Fuzzy Concept Analysis
1 Introduction
2 Related Work
3 Proposed Approach
3.1 Fuzzy Knowledge Graph
3.2 Problem Description
3.3 Proposed Approach
4 Conclusion
References
Interlacing Data to Classify Software in Linear Regression Approach
1 Introduction
2 Linear Regression in Machine Learning
2.1 Linear Regression in Software Classification
2.2 The Basic Approach of Interlacing Data
3 Interlacing Data in Linear Regression
4 Experimental Evaluation
5 Conclusion
References
Blockchain and Trusted Execution Environment Based Fairness Incentive Mechanism in Crowdsensing
1 Introduction
2 Related Work
3 Architecture and Operations of Our Proposed System
4 Experiment
5 Analysis and Conclusion
References
Identifying Critical Topics for Successful Games in Game Reviews by Applying Latent Dirichlet Allocation
1 Introduction
2 Background
3 Topic Modeling Analysis
3.1 Theoretical Framework
3.2 Methodology
4 Discussions
4.1 Stimulation-Response-Desire-Goal (SRDG) Model
4.2 Application and Development of the Model
5 Conclusion